مشخصات پژوهش

صفحه نخست /F-MAP:ABayesianapproachtoinfer
عنوان
F-MAP:ABayesianapproachtoinferthegene regulatorynetworkusingexternalhints
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Bayesian
چکیده
TheCommontopologicalfeaturesofrelatedspeciesgeneregulatorynetworkssuggest reconstructionofthenetworkofonespeciesbyusingthefurtherinformation fromgene expressionsprofileofrelatedspecies.Wepresentanalgorithmtoreconstructthegeneregulatorynetworknamed;F-MAP,whichappliestheknowledgeaboutgeneinteractions from relatedspecies.OuralgorithmsetsaBayesianframeworktoestimatetheprecisionmatrix ofonespeciesmicroarraygeneexpressionsdatasettoinfer theGaussianGraphicalmodel ofthenetwork.TheconjugateWishartprioris usedandtheinformation fromrelatedspecies is appliedtoestimatethehyperparametersofthepriordistributionbyusingthefactoranalysis.Applyingtheproposedalgorithmonsixrelatedspeciesofdrosophilashowsthattheprecisionofreconstructednetworksis improved considerablycomparedtotheprecisionof networksconstructedbyotherBayesianapproaches.
پژوهشگران حسین محجوب (نفر سوم)